一种低复杂度的环视车位检测算法在自动泊车辅助中的应用

Application of a Low-complexity Surround View Parking Space Detection Algorithm in Automatic Parking Assistance

在自动驾驶辅助向自动驾驶发展的过程中,自动泊车辅助是最先走向量产的自动驾驶功能。在自动泊车过程中,停车位和障碍物是两类最重要的识别目标。自动泊车系统通常采用两类传感器——超声波雷达(或毫米波雷达)和环视鱼眼摄像头,环视鱼眼摄像头用于对障碍物的识别分类和划线停车位的识别。文章介绍一种低复杂度的划线停车位识别算法在自动泊车系统中的应用,有效地提高系统的实时性。

APA(Automatic Parking Assistant)is the first applied ADAS function on the way to AD(Automatic Driving).Slots detection and obstacles detection are the most important items in APA.Two kinds of sensor,which are ultrasonic radar and fish-eye cameras,are used in APA.A low-complexity slot detection algorithm is introduced in this paper with its application in an APA system,which greatly help the system improve its real-time performance.